Bibliographic record
Abstract
Abstract Calcium, strontium, barium, and radium are alkaline‐earth metals of which calcium is an essential element. The adverse effects associated with excessive calcium intake are kidney stone formation, hypercalcemia, and renal insufficiency. The toxicological effects of calcium are generally associated with sustained increases in its intracellular concentration. Strontium, widely found in association with calcium, causes skeletal toxicity by competing with calcium for binding to form hydroxyapatite crystals. Barium, the heaviest of the stable alkaline earth metals of Group IIA of the periodic table, is a chemical antagonist to potassium. Barium toxicity is mediated by through substitution for calcium, in addition to being a physiological antagonist to potassium ions. Kidney is the primary target organ for barium toxicity in rodents, while cardiovascular effects such as hypertension are the primary effect in humans. Finally, radium, a radioactive element, is an analogue of barium and calcium. Sarcomas of the bone and carcinomas of the paranasal sinuses and mastoid air cells have been associated with radium exposure. This chapter also summarizes the available environmental and workplace guideline values for these alkaline earth metals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".